Triple
T17916906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Werwath |
E447952
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Werwath
Werwath is a German-origin surname most notably associated with Oscar Werwath, an engineer and educator who founded the Milwaukee School of Engineering.
|
E1296314
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Werwath | Statement: [Oscar Werwath, familyName, Werwath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werwath Context triple: [Oscar Werwath, familyName, Werwath]
-
A.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
B.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
C.
Etzel
Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
-
D.
Etzel
Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Werwath Triple: [Oscar Werwath, familyName, Werwath]
Generated description
Werwath is a German-origin surname most notably associated with Oscar Werwath, an engineer and educator who founded the Milwaukee School of Engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werwath Target entity description: Werwath is a German-origin surname most notably associated with Oscar Werwath, an engineer and educator who founded the Milwaukee School of Engineering.
-
A.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
B.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
C.
Etzel
Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
-
D.
Etzel
Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212c9e88819099fb04040e543d63 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0321e2ce7c81909f24975b71f73621 |
completed | May 12, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032255c76c81909ab534ae3e8adddc |
completed | May 12, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:20 a.m.